Jean‐François Timsit
- Epidemiology top 0.2%
- Critical Care and Intensive Care Medicine top 0.02%
- Pulmonary and Respiratory Medicine top 0.5%
- Infectious Diseases top 0.5%
- Pharmacology top 0.2%
- Co-authors
- Maïté Garrouste-OrgeasBenoît MissetJean CarletÉlie AzoulayMarin H. KollefMatteo BassettiCarole SchwebelAurélien Vesin
- Topics
- Nosocomial Infections in ICU (78 papers)Central Venous Catheters and Hemodialysis (48 papers)Pneumonia and Respiratory Infections (48 papers)
- Cited by
- Applied Microbiology and BiotechnologyCritical Care and Intensive Care MedicineMolecular Medicine
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
Jean‐François Timsit
331 papers receiving 14.0k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Epidemiology 5.6k
- Critical Care and Intensive Care Medicine 3.9k
- Pulmonary and Respiratory Medicine 2.8k
- Infectious Diseases 2.7k
- Pharmacology 2.2k
Countries citing papers authored by Jean‐François Timsit
This map shows the geographic impact of Jean‐François Timsit's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jean‐François Timsit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐François Timsit more than expected).
Fields of papers citing papers by Jean‐François Timsit
This network shows the impact of papers produced by Jean‐François Timsit. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jean‐François Timsit. The network helps show where Jean‐François Timsit may publish in the future.
Co-authorship network of co-authors of Jean‐François Timsit
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐François Timsit. A scholar is included among the top collaborators of Jean‐François Timsit based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean‐François Timsit. Jean‐François Timsit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 17 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 14 | |
| 15 | 5 | |
| 16 | 11 | |
| 17 | 102 | |
| 18 | 14 | |
| 19 | 1 | |
| 20 | Recherches sur l'action anti-inflammatoire de l'adrénaline. | 1 |
About Jean‐François Timsit
Jean‐François Timsit is a scholar working on Applied Microbiology and Biotechnology, Critical Care and Intensive Care Medicine and Emergency Medical Services, having authored 345 papers that have together received 14.3k indexed citations. Recurring topics across this work include Nosocomial Infections in ICU (78 papers), Central Venous Catheters and Hemodialysis (48 papers) and Pneumonia and Respiratory Infections (48 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (1.9k citations), Critical Care and Intensive Care Medicine (3.9k citations) and Molecular Medicine (2.1k citations). Jean‐François Timsit has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Maïté Garrouste-Orgeas, Benoît Misset, Jean Carlet, Élie Azoulay, Marin H. Kollef, Matteo Bassetti, Carole Schwebel, Aurélien Vesin, Alexis Tabah and José Artur Paiva. Their work appears in journals such as JAMA, Journal of Clinical Oncology and Annals of Internal Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.